Parameter | Neck BMS | Body BMS | Tail BMS | Total BMS | Weight (Kg) |
---|
| 0.62 ± 0.15 | 1.06 ± 0.22 | 0.95 ± 0.19 | 7.26 ± 1.38 | 0.06 ± 0.015 |
| 0.28 ± 0.047 | 0.26 ± 0.04 | 0.17 ± 0.028 | 0.26 ± 0.04 | -0.15 ± 0.09 |
| 0.05 ± 0.054 | -0.09 ± 0.05 | -0.17 ± 0.03 | -0.09 ± 0.05 | 0.40 ± 0.19 |
| 1.18 ± 0.12 | 2.74 ± 0.22 | 2.31 ± 0.20 | 11.4 ± 1.14 | 0.026 ± 0.008 |
| 2.93 ± 0.22 | 3.53 ± 0.27 | 5.98 ± 0.34 | 22.4 ± 1.72 | 0.03 ± 0.009 |
| 3.54 ± 0.11 | 4.95 ± 0.24 | 5.31 ± 0.18 | 31.09 ± 1.00 | 0.011 ± 0.005 |
| 0.18 ± 0.04 | 0.21 ± 0.08 | 0.18 ± 0.036 | 0.23 ± 0.04 | 0.57 ± 0.13 |
| - | - | - | - | 0.07 ± 0.05 |
- 1Model 3 was y = Xb + Z
D
a
D
+ Wg + Vg * s + e; 2although cage and cage*sex covariances were fitted, the result is expressed as the non-genetic correlation between phenotypes of cage mates, , and as the non-genetic correlation between phenotypes of cage mates of the same sex, ; 3for BMS, phenotypic variance was estimated from a separate analysis using the model y = Xb + e, this was done because our objective was to present a single number for phenotypic variance and heritability, covering both sexes, since a single genetic variance was fitted covering both sexes; however, since our aim was to estimate the other model terms with the best fitting model, a separate analysis for phenotypic variance was performed; the standard errors of heritability estimates were calculated from the full model, averaging the residual variances for both sexes; , refers to the non-genetic dam variance; refers to the non-genetic maternal effect.